{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T12:18:42Z","timestamp":1789561122435,"version":"build-2803163510"},"reference-count":48,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Advances in Wound Care"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>The goal of this investigation was to use comprehensive prediction modeling tools and available genetic information to try to improve upon the performance of simple clinical models in predicting whether a diabetic foot ulcer (DFU) will heal.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Approach:<\/jats:title>\n                    <jats:p>\n                      We utilized a cohort study (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      \u2009=\u2009206) that included clinical factors, measurements of circulating endothelial precursor cells (CEPCs), and fine sequencing of the\n                      <jats:italic toggle=\"yes\">NOS1AP<\/jats:italic>\n                      gene. We derived and selected relevant predictive features from this patient-level information using statistical and machine learning techniques. We then developed prognostic models using machine learning approaches and assessed predictive performance. The presentation is consistent with TRIPOD requirements.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Models using baseline clinical and CEPC data had an area under the receiver operating characteristic curve (AUC) of 0.73 (0.66\u20130.80). Models using only single nucleotide polymorphisms (SNPs) of the\n                      <jats:italic toggle=\"yes\">NOS1AP<\/jats:italic>\n                      gene had an AUC of 0.67 (95% confidence interval, CI: [0.59\u20130.75]). However, models incorporating baseline and SNP information resulted in improved AUC (0.80, 95% CI [0.73\u20130.87]).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Innovation:<\/jats:title>\n                    <jats:p>We provide a rigorous analysis demonstrating the predictive potential of genetic information in DFU healing. In this process, we present a framework for using advanced statistical and bioinformatics techniques for creating superior prognostic models and identify potentially predictive SNPs for future research.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>We have developed a new benchmark for which future predictive models can be compared against. Such models will enable wound care experts to more accurately predict whether a patient will heal and aid clinical trialists in designing studies to evaluate therapies for subjects likely or unlikely to heal.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/wound.2023.0194","type":"journal-article","created":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T06:05:26Z","timestamp":1705989926000},"page":"281-290","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing"],"prefix":"10.1177","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5980-2946","authenticated-orcid":false,"given":"Gary","family":"Hettinger","sequence":"first","affiliation":[{"name":"Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7714-3910","authenticated-orcid":false,"given":"Nandita","family":"Mitra","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3533-6124","authenticated-orcid":false,"given":"Stephen R.","family":"Thom","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0506-8085","authenticated-orcid":false,"given":"David J.","family":"Margolis","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA."},{"name":"Department of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,6,13]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/13696998.2023.2232256"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(05)67698-2"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1615439"},{"key":"e_1_3_1_5_2","volume-title":"Incidence of Diabetic Foot Ulcer and Lower Extremity Amputation Among Medicare Beneficiaries, 2006 to 2008","author":"Margolis D","year":"2010","unstructured":"Margolis D, , Malay DS, , Hoffstad OJ, et al. 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